LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test. - Michael Bugert; Yevgeniy Puzikov; Andreas Rücklé; Judith Eckle-Kohler; Teresa Martin; Eugenio Martínez-Cámara; Daniil Sorokin; Maxime Peyrard; Iryna Gurevych (LSDSem@EACL, 2017)

Context-Aware Representations for Knowledge Base Relation Extraction. - Daniil Sorokin; Iryna Gurevych (EMNLP, 2017)

End-to-End Representation Learning for Question Answering with Weak Supervision. - Daniil Sorokin; Iryna Gurevych (SemWebEval@ESWC, 2017)

Frame- and Entity-Based Knowledge for Common-Sense Argumentative Reasoning. - Teresa Botschen; Daniil Sorokin; Iryna Gurevych (ArgMining@EMNLP, 2018)

Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering. - Daniil Sorokin; Iryna Gurevych (COLING, 2018)

UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification. - Andreas Hanselowski; Hao Zhang; Zile Li; Daniil Sorokin; Benjamin Schiller; Claudia Schulz 001; Iryna Gurevych (FEVER@EMNLP, 2018)

Interactive Instance-based Evaluation of Knowledge Base Question Answering. - Daniil Sorokin; Iryna Gurevych (EMNLP (Demonstration), 2018)

Mixing Context Granularities for Improved Entity Linking on Question Answering Data across Entity Categories. - Daniil Sorokin; Iryna Gurevych (*SEM@NAACL-HLT, 2018)

Leveraging User Paraphrasing Behavior In Dialog Systems To Automatically Collect Annotations For Long-Tail Utterances. - Tobias Falke; Markus Boese; Daniil Sorokin; Caglar Tirkaz; Patrick Lehnen (COLING (Industry), 2020)

Data-Efficient Paraphrase Generation to Bootstrap Intent Classification and Slot Labeling for New Features in Task-Oriented Dialog Systems. - Shailza Jolly; Tobias Falke; Caglar Tirkaz; Daniil Sorokin (COLING (Industry), 2020)

Predicting Temporal Performance Drop of Deployed Production Spoken Language Understanding Models. - Quynh Do; Judith Gaspers; Daniil Sorokin; Patrick Lehnen (Interspeech, 2021)

The Impact of Intent Distribution Mismatch on Semi-Supervised Spoken Language Understanding. - Judith Gaspers; Quynh Do; Daniil Sorokin; Patrick Lehnen (Interspeech, 2021)

Knowledge Graphs and Graph Neural Networks for Semantic Parsing. - Daniil Sorokin (2021)

Towards Need-Based Spoken Language Understanding Model Updates: What Have We Learned? - Quynh Do; Judith Gaspers; Daniil Sorokin; Patrick Lehnen (EMNLP (Industry Track), 2022)

Local-to-global learning for iterative training of production SLU models on new features. - Yulia Grishina; Daniil Sorokin (NAACL-HLT (Industry Papers), 2022)

Sharing Encoder Representations across Languages, Domains and Tasks in Large-Scale Spoken Language Understanding. - Jonathan J. Hüser; Judith Gaspers; Thomas Gueudré; Chandana Satya Prakash; Jin Cao; Daniil Sorokin; Quynh Do; Nicolas Anastassacos; Tobias Falke; Turan Gojayev (ACL (industry), 2023)